Arithmetic coding can also be used to efficiently code a general probability distribution but the additional complexity of an arithmetic coder can be a drawback in some applications. SUMMARY OF THE INVENTION The present disclosure addresses the problem of developing an infinite code tailored to a...
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Another shortcoming associated with Huffman coding is that in order to increase its efficiency, we need to design the code for blocks of two or more symbols; this exponentially increases the complexity of the algorithm. For certain high-speed applications, the complexity and speed of Huffman ...
Huffman coding is an entropy encoding algorithm used for lossless data compression. The term “entropy encoding” refers to the use of a variable-length code table for encoding a source symbol where the variable-length code table has been derived based on the estimated probability of each possibly...
Huffman coding and embeds it in the encrypted image. After obtaining the label map, the data-hider can embed the secret data into the encrypted non-reference pixels using adaptive multi-MSB replacement. Finally, data extraction and image recovery can be performed for a receiver with the data ...
4.5 Extended Huffman coding One problem with Huffman codes is that they meet the entropy bound only when all probabilities are powers of 2. What would happen if the alphabet is binary, e.g. S =(a, b)? The only optimal case 3 is when P =(pa, pb), pa = 1/2 and pb = 1/2. ...
In order to solve the problem, the authors of the article propose a new approach enabling short data encryption with a longer key. In this case, the innovative concept is based on Huffman coding [18,19] in combination with LZW [20,21], which will ensure the desired level of security for...
In this paper, we address the problem of m-gram entropy variable-to-variable coding, extending the classical Huffman algorithm to the case of coding m-element (i.e., m-grams) sequences of symbols taken from the stream of input data for 𝑚>1m>1. We propose a procedure to enable the...